Getting Started

This document will show you how to install and upgrade YASET.

Requirements

• You need a working Python 3.3+ environment.
• Optional: we recommend the use of Graphics Processing Units (GPU). YASET implements state-of-the-art neural network models for sequence tagging. Hence, it can leverage GPU computational power to speed up computation. However, this requirement is optional and the tool should be able to learn models in a reasonable time frame using only Central Processing Units (CPU).

Installation

Here are the steps to follow in order to install YASET.

1. Download the latest stable version on GitHub or clone the repository if you want to use the cutting-edge development version.

$ git clone git@github.com:jtourille/yaset.git

2. Uncompress the file if necessary and move to the newly created directory. Install YASET by invoking pip.

$ cd yaset
$ pip install .

GPU Support

YASET install the non-GPU version of TensorFlow by default. If you want to use GPUs with YASET, upgrade the TensorFlow package.

$ pip install tensorflow-gpu==1.2.0

Upgrade

If you want to upgrade to a newer version, download the latest release or pull the latest version of the repository and then upgrade the package. If you switched to the GPU version of TensorFlow, the change will be kept. You do not need to repeat TensorFlow upgrade.

$ git pull
$ pip install --upgrade .